51
|
Troggio M, Šurbanovski N, Bianco L, Moretto M, Giongo L, Banchi E, Viola R, Fernández FF, Costa F, Velasco R, Cestaro A, Sargent DJ. Evaluation of SNP Data from the Malus Infinium Array Identifies Challenges for Genetic Analysis of Complex Genomes of Polyploid Origin. PLoS One 2013; 8:e67407. [PMID: 23826289 PMCID: PMC3694884 DOI: 10.1371/journal.pone.0067407] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2013] [Accepted: 05/18/2013] [Indexed: 01/21/2023] Open
Abstract
High throughput arrays for the simultaneous genotyping of thousands of single-nucleotide polymorphisms (SNPs) have made the rapid genetic characterisation of plant genomes and the development of saturated linkage maps a realistic prospect for many plant species of agronomic importance. However, the correct calling of SNP genotypes in divergent polyploid genomes using array technology can be problematic due to paralogy, and to divergence in probe sequences causing changes in probe binding efficiencies. An Illumina Infinium II whole-genome genotyping array was recently developed for the cultivated apple and used to develop a molecular linkage map for an apple rootstock progeny (M432), but a large proportion of segregating SNPs were not mapped in the progeny, due to unexpected genotype clustering patterns. To investigate the causes of this unexpected clustering we performed BLAST analysis of all probe sequences against the ‘Golden Delicious’ genome sequence and discovered evidence for paralogous annealing sites and probe sequence divergence for a high proportion of probes contained on the array. Following visual re-evaluation of the genotyping data generated for 8,788 SNPs for the M432 progeny using the array, we manually re-scored genotypes at 818 loci and mapped a further 797 markers to the M432 linkage map. The newly mapped markers included the majority of those that could not be mapped previously, as well as loci that were previously scored as monomorphic, but which segregated due to divergence leading to heterozygosity in probe annealing sites. An evaluation of the 8,788 probes in a diverse collection of Malus germplasm showed that more than half the probes returned genotype clustering patterns that were difficult or impossible to interpret reliably, highlighting implications for the use of the array in genome-wide association studies.
Collapse
Affiliation(s)
- Michela Troggio
- Centre for Research and Innovation, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Nada Šurbanovski
- Centre for Research and Innovation, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Luca Bianco
- Centre for Research and Innovation, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Marco Moretto
- Centre for Research and Innovation, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Lara Giongo
- Centre for Research and Innovation, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Elisa Banchi
- Centre for Research and Innovation, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Roberto Viola
- Centre for Research and Innovation, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | | | - Fabrizio Costa
- Centre for Research and Innovation, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Riccardo Velasco
- Centre for Research and Innovation, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Alessandro Cestaro
- Centre for Research and Innovation, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Daniel James Sargent
- Centre for Research and Innovation, Fondazione Edmund Mach, San Michele all'Adige, Italy
- * E-mail:
| |
Collapse
|
52
|
Garcia-Lor A, Ancillo G, Navarro L, Ollitrault P. Citrus (Rutaceae) SNP markers based on Competitive Allele-Specific PCR; transferability across the Aurantioideae subfamily. APPLICATIONS IN PLANT SCIENCES 2013; 1:apps1200406. [PMID: 25202535 PMCID: PMC4105292 DOI: 10.3732/apps.1200406] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2012] [Accepted: 09/26/2012] [Indexed: 05/05/2023]
Abstract
PREMISE OF THE STUDY Single nucleotide polymorphism (SNP) markers based on Competitive Allele-Specific PCR (KASPar) were developed from sequences of three Citrus species. Their transferability was tested in 63 Citrus genotypes and 19 relative genera of the subfamily Aurantioideae to estimate the potential of SNP markers, selected from a limited intrageneric discovery panel, for ongoing broader diversity analysis at the intra- and intergeneric levels and systematic germplasm bank characterization. • METHODS AND RESULTS Forty-two SNP markers were developed using KASPar technology. Forty-one were successfully genotyped in all of the Citrus germplasm, where intra- and interspecific polymorphisms were observed. The transferability and diversity decreased with increasing taxonomic distance. • CONCLUSIONS SNP markers based on the KASPar method developed from sequence data of a limited intrageneric discovery panel provide a valuable molecular resource for genetic diversity analysis of germplasm within a genus and should be useful for germplasm fingerprinting at a much broader diversity level.
Collapse
Affiliation(s)
- Andres Garcia-Lor
- Centro de Protección Vegetal y Biotecnología, Instituto Valenciano de Investigaciones Agrarias (IVIA), Apartado Oficial, 46113 Moncada (Valencia), Spain
| | - Gema Ancillo
- Centro de Protección Vegetal y Biotecnología, Instituto Valenciano de Investigaciones Agrarias (IVIA), Apartado Oficial, 46113 Moncada (Valencia), Spain
| | - Luis Navarro
- Centro de Protección Vegetal y Biotecnología, Instituto Valenciano de Investigaciones Agrarias (IVIA), Apartado Oficial, 46113 Moncada (Valencia), Spain
- Author for correspondence: ,
| | - Patrick Ollitrault
- Centro de Protección Vegetal y Biotecnología, Instituto Valenciano de Investigaciones Agrarias (IVIA), Apartado Oficial, 46113 Moncada (Valencia), Spain
- CIRAD, UMR AGAP, F-34398, Montpellier, France
- Author for correspondence: ,
| |
Collapse
|
53
|
Cuenca J, Aleza P, Navarro L, Ollitrault P. Assignment of SNP allelic configuration in polyploids using competitive allele-specific PCR: application to citrus triploid progeny. ANNALS OF BOTANY 2013; 111:731-42. [PMID: 23422023 PMCID: PMC3605964 DOI: 10.1093/aob/mct032] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2012] [Accepted: 01/04/2013] [Indexed: 05/20/2023]
Abstract
BACKGROUND Polyploidy is a major component of eukaryote evolution. Estimation of allele copy numbers for molecular markers has long been considered a challenge for polyploid species, while this process is essential for most genetic research. With the increasing availability and whole-genome coverage of single nucleotide polymorphism (SNP) markers, it is essential to implement a versatile SNP genotyping method to assign allelic configuration efficiently in polyploids. SCOPE This work evaluates the usefulness of the KASPar method, based on competitive allele-specific PCR, for the assignment of SNP allelic configuration. Citrus was chosen as a model because of its economic importance, the ongoing worldwide polyploidy manipulation projects for cultivar and rootstock breeding, and the increasing availability of SNP markers. CONCLUSIONS Fifteen SNP markers were successfully designed that produced clear allele signals that were in agreement with previous genotyping results at the diploid level. The analysis of DNA mixes between two haploid lines (Clementine and pummelo) at 13 different ratios revealed a very high correlation (average = 0·9796; s.d. = 0·0094) between the allele ratio and two parameters [θ angle = tan(-1) (y/x) and y' = y/(x + y)] derived from the two normalized allele signals (x and y) provided by KASPar. Separated cluster analysis and analysis of variance (ANOVA) from mixed DNA simulating triploid and tetraploid hybrids provided 99·71 % correct allelic configuration. Moreover, triploid populations arising from 2n gametes and interploid crosses were easily genotyped and provided useful genetic information. This work demonstrates that the KASPar SNP genotyping technique is an efficient way to assign heterozygous allelic configurations within polyploid populations. This method is accurate, simple and cost-effective. Moreover, it may be useful for quantitative studies, such as relative allele-specific expression analysis and bulk segregant analysis.
Collapse
Affiliation(s)
- José Cuenca
- Centro de Protección Vegetal y Biotecnología, Instituto Valenciano de Investigaciones Agrarias (IVIA), 46113 Moncada (Valencia), Spain
| | - Pablo Aleza
- Centro de Protección Vegetal y Biotecnología, Instituto Valenciano de Investigaciones Agrarias (IVIA), 46113 Moncada (Valencia), Spain
| | - Luis Navarro
- Centro de Protección Vegetal y Biotecnología, Instituto Valenciano de Investigaciones Agrarias (IVIA), 46113 Moncada (Valencia), Spain
- For correspondence. E-mail or
| | - Patrick Ollitrault
- Centro de Protección Vegetal y Biotecnología, Instituto Valenciano de Investigaciones Agrarias (IVIA), 46113 Moncada (Valencia), Spain
- UMR AGAP, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), TA A-108/02, 34398 Montpellier, Cedex 5, France
- For correspondence. E-mail or
| |
Collapse
|
54
|
Garcia-Lor A, Curk F, Snoussi-Trifa H, Morillon R, Ancillo G, Luro F, Navarro L, Ollitrault P. A nuclear phylogenetic analysis: SNPs, indels and SSRs deliver new insights into the relationships in the 'true citrus fruit trees' group (Citrinae, Rutaceae) and the origin of cultivated species. ANNALS OF BOTANY 2013; 111:1-19. [PMID: 23104641 PMCID: PMC3523644 DOI: 10.1093/aob/mcs227] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2012] [Accepted: 09/12/2012] [Indexed: 05/20/2023]
Abstract
BACKGROUND AND AIMS Despite differences in morphology, the genera representing 'true citrus fruit trees' are sexually compatible, and their phylogenetic relationships remain unclear. Most of the important commercial 'species' of Citrus are believed to be of interspecific origin. By studying polymorphisms of 27 nuclear genes, the average molecular differentiation between species was estimated and some phylogenetic relationships between 'true citrus fruit trees' were clarified. METHODS Sanger sequencing of PCR-amplified fragments from 18 genes involved in metabolite biosynthesis pathways and nine putative genes for salt tolerance was performed for 45 genotypes of Citrus and relatives of Citrus to mine single nucleotide polymorphisms (SNPs) and indel polymorphisms. Fifty nuclear simple sequence repeats (SSRs) were also analysed. KEY RESULTS A total of 16 238 kb of DNA was sequenced for each genotype, and 1097 single nucleotide polymorphisms (SNPs) and 50 indels were identified. These polymorphisms were more valuable than SSRs for inter-taxon differentiation. Nuclear phylogenetic analysis revealed that Citrus reticulata and Fortunella form a cluster that is differentiated from the clade that includes three other basic taxa of cultivated citrus (C. maxima, C. medica and C. micrantha). These results confirm the taxonomic subdivision between the subgenera Metacitrus and Archicitrus. A few genes displayed positive selection patterns within or between species, but most of them displayed neutral patterns. The phylogenetic inheritance patterns of the analysed genes were inferred for commercial Citrus spp. CONCLUSIONS Numerous molecular polymorphisms (SNPs and indels), which are potentially useful for the analysis of interspecific genetic structures, have been identified. The nuclear phylogenetic network for Citrus and its sexually compatible relatives was consistent with the geographical origins of these genera. The positive selection observed for a few genes will help further works to analyse the molecular basis of the variability of the associated traits. This study presents new insights into the origin of C. sinensis.
Collapse
Affiliation(s)
- Andres Garcia-Lor
- Centro de Protección Vegetal y Biotecnología, Instituto Valenciano de Investigaciones Agrarias (IVIA), 46113 Moncada (Valencia), Spain
| | - Franck Curk
- Centro de Protección Vegetal y Biotecnología, Instituto Valenciano de Investigaciones Agrarias (IVIA), 46113 Moncada (Valencia), Spain
- INRA, UR1103 Génétique et Ecophysiologie de la Qualité des Agrumes, F-20230 San Giuliano, France
| | - Hager Snoussi-Trifa
- Horticultural Laboratory, Tunisian National Agronomic Research Institute (INRAT), Rue Hedi Karray, 2049 Ariana, Tunisia
| | - Raphael Morillon
- UMR AGAP, Centre de coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), TA A-108/02, 34398 Montpellier, Cedex 5, France
| | - Gema Ancillo
- Centro de Protección Vegetal y Biotecnología, Instituto Valenciano de Investigaciones Agrarias (IVIA), 46113 Moncada (Valencia), Spain
| | - François Luro
- INRA, UR1103 Génétique et Ecophysiologie de la Qualité des Agrumes, F-20230 San Giuliano, France
| | - Luis Navarro
- Centro de Protección Vegetal y Biotecnología, Instituto Valenciano de Investigaciones Agrarias (IVIA), 46113 Moncada (Valencia), Spain
- For correspondence. E-mail or
| | - Patrick Ollitrault
- Centro de Protección Vegetal y Biotecnología, Instituto Valenciano de Investigaciones Agrarias (IVIA), 46113 Moncada (Valencia), Spain
- UMR AGAP, Centre de coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), TA A-108/02, 34398 Montpellier, Cedex 5, France
- For correspondence. E-mail or
| |
Collapse
|
55
|
Ollitrault P, Terol J, Chen C, Federici CT, Lotfy S, Hippolyte I, Ollitrault F, Bérard A, Chauveau A, Cuenca J, Costantino G, Kacar Y, Mu L, Garcia-Lor A, Froelicher Y, Aleza P, Boland A, Billot C, Navarro L, Luro F, Roose ML, Gmitter FG, Talon M, Brunel D. A reference genetic map of C. clementina hort. ex Tan.; citrus evolution inferences from comparative mapping. BMC Genomics 2012; 13:593. [PMID: 23126659 PMCID: PMC3546309 DOI: 10.1186/1471-2164-13-593] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2012] [Accepted: 10/29/2012] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Most modern citrus cultivars have an interspecific origin. As a foundational step towards deciphering the interspecific genome structures, a reference whole genome sequence was produced by the International Citrus Genome Consortium from a haploid derived from Clementine mandarin. The availability of a saturated genetic map of Clementine was identified as an essential prerequisite to assist the whole genome sequence assembly. Clementine is believed to be a 'Mediterranean' mandarin × sweet orange hybrid, and sweet orange likely arose from interspecific hybridizations between mandarin and pummelo gene pools. The primary goals of the present study were to establish a Clementine reference map using codominant markers, and to perform comparative mapping of pummelo, sweet orange, and Clementine. RESULTS Five parental genetic maps were established from three segregating populations, which were genotyped with Single Nucleotide Polymorphism (SNP), Simple Sequence Repeats (SSR) and Insertion-Deletion (Indel) markers. An initial medium density reference map (961 markers for 1084.1 cM) of the Clementine was established by combining male and female Clementine segregation data. This Clementine map was compared with two pummelo maps and a sweet orange map. The linear order of markers was highly conserved in the different species. However, significant differences in map size were observed, which suggests a variation in the recombination rates. Skewed segregations were much higher in the male than female Clementine mapping data. The mapping data confirmed that Clementine arose from hybridization between 'Mediterranean' mandarin and sweet orange. The results identified nine recombination break points for the sweet orange gamete that contributed to the Clementine genome. CONCLUSIONS A reference genetic map of citrus, used to facilitate the chromosome assembly of the first citrus reference genome sequence, was established. The high conservation of marker order observed at the interspecific level should allow reasonable inferences of most citrus genome sequences by mapping next-generation sequencing (NGS) data in the reference genome sequence. The genome of the haploid Clementine used to establish the citrus reference genome sequence appears to have been inherited primarily from the 'Mediterranean' mandarin. The high frequency of skewed allelic segregations in the male Clementine data underline the probable extent of deviation from Mendelian segregation for characters controlled by heterozygous loci in male parents.
Collapse
|
56
|
Distefano G, Caruso M, La Malfa S, Gentile A, Wu SB. High resolution melting analysis is a more sensitive and effective alternative to gel-based platforms in analysis of SSR--an example in citrus. PLoS One 2012; 7:e44202. [PMID: 22957003 PMCID: PMC3431301 DOI: 10.1371/journal.pone.0044202] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2012] [Accepted: 07/30/2012] [Indexed: 01/15/2023] Open
Abstract
High resolution melting curve analysis (HRM) has been used as an efficient, accurate and cost-effective tool to detect single nucleotide polymorphisms (SNPs) or insertions or deletions (INDELs). However, its efficiency, accuracy and applicability to discriminate microsatellite polymorphism have not been extensively assessed. The traditional protocols used for SSR genotyping include PCR amplification of the DNA fragment and the separation of the fragments on electrophoresis-based platform. However, post-PCR handling processes are laborious and costly. Furthermore, SNPs present in the sequences flanking repeat motif cannot be detected by polyacrylamide-gel-electrophoresis based methods. In the present study, we compared the discriminating power of HRM with the traditional electrophoresis-based methods and provided a panel of primers for HRM genotyping in Citrus. The results showed that sixteen SSR markers produced distinct polymorphic melting curves among the Citrus spp investigated through HRM analysis. Among those, 10 showed more genotypes by HRM analysis than capillary electrophoresis owing to the presence of SNPs in the amplicons. For the SSR markers without SNPs present in the flanking region, HRM also gave distinct melting curves which detected same genotypes as were shown in capillary electrophoresis (CE) analysis. Moreover, HRM analysis allowed the discrimination of most of the 15 citrus genotypes and the resulting genetic distance analysis clustered them into three main branches. In conclusion, it has been approved that HRM is not only an efficient and cost-effective alternative of electrophoresis-based method for SSR markers, but also a method to uncover more polymorphisms contributed by SNPs present in SSRs. It was therefore suggested that the panel of SSR markers could be used in a variety of applications in the citrus biodiversity and breeding programs using HRM analysis. Furthermore, we speculate that the HRM analysis can be employed to analyse SSR markers in a wide range of applications in all other species.
Collapse
Affiliation(s)
- Gaetano Distefano
- Dipartimento di Scienze delle Produzioni Agrarie e Alimentari, University of Catania, Catania, Italy
- School of Environmental and Rural Science, University of New England, Armidale, Australia
| | - Marco Caruso
- Dipartimento di Scienze delle Produzioni Agrarie e Alimentari, University of Catania, Catania, Italy
| | - Stefano La Malfa
- Dipartimento di Scienze delle Produzioni Agrarie e Alimentari, University of Catania, Catania, Italy
| | - Alessandra Gentile
- Dipartimento di Scienze delle Produzioni Agrarie e Alimentari, University of Catania, Catania, Italy
- * E-mail: (S-BW); (AG)
| | - Shu-Biao Wu
- School of Environmental and Rural Science, University of New England, Armidale, Australia
- * E-mail: (S-BW); (AG)
| |
Collapse
|